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  3. Introduction to Anomaly Detection in R
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Fit and predict with an isolation tree

The two most important functions to know when fitting an isolation tree are iForest() to fit and predict() to generate an isolation score. In this exercise, you'll use these two functions to explore isolated points in the wine data set.

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  • Fit a single isolation tree to the wine data.